Unlock instant, AI-driven research and patent intelligence for your innovation.

Sleep spindle wave detection method based on EEG brain waves and system thereof

A detection method and spindle technology, applied in the field of EEG signal recognition, can solve the problems of limited application scenarios, large errors, and cumbersome operations

Pending Publication Date: 2021-07-30
北京脑陆科技有限公司
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current detection is to obtain the EEG physiological signals by letting the subjects wear a large and cumbersome EEG acquisition device, and supplemented by an image detection algorithm to perform spindle wave detection. This method is cumbersome, inefficient, and error-prone. It is also relatively large, and at the same time, due to the large size of the device, the application scenarios are limited

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Sleep spindle wave detection method based on EEG brain waves and system thereof
  • Sleep spindle wave detection method based on EEG brain waves and system thereof
  • Sleep spindle wave detection method based on EEG brain waves and system thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The core of the present invention is to provide a sleep spindle detection method and system based on EEG brain waves, so as to realize intelligent analysis of EEG signals to judge sleep spindle state, improve recognition accuracy and reduce recognition time.

[0023] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0024] Please refer to figure 1 , figure 1 It is a flow chart of specific ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a sleep spindle wave detection method based on EEG brain waves and a system thereof, and the method comprises the steps: an EEG signal of a user is collected through EEG signal collection equipment, the EEG signal is preprocessed, and the preprocessed EEG signal is transmitted to a data analysis system; the data analysis system performs feature extraction on the electroencephalogram signals and transmits the electroencephalogram signals to the judgment and recognition system; and the judgment and recognition system calculates the detection result of the spindle wave through an algorithm by using the extracted features. According to the method, intelligence of sleep spindle wave detection is realized, the detection accuracy is improved, the detection time is shortened, and the application scene of detection is widened.

Description

technical field [0001] The invention relates to the technical field of EEG signal recognition, in particular to a sleep spindle detection method and system based on EEG brainwaves. Background technique [0002] At present, there is no automatic equipment and method for intelligently analyzing EEG signals to judge sleep spindles in the market and clinically. The current detection is to obtain the EEG physiological signals by letting the subjects wear a large and cumbersome EEG acquisition device, and supplemented by an image detection algorithm to perform spindle wave detection. This method is cumbersome, inefficient, and error-prone. It is also relatively large, and at the same time, due to the large size of the device, the application scenarios are limited. [0003] Therefore, how to improve the recognition accuracy is an urgent problem to be solved. Contents of the invention [0004] The purpose of the present invention is to provide a sleep spindle detection method an...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): A61B5/374
CPCA61B5/7267A61B5/7257
Inventor 马鹏程卢树强王晓岸
Owner 北京脑陆科技有限公司